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For legal tech founders, general counsel, and law-firm AI leads.

In one day in March 2026,
17 US court decisions flagged AI hallucinations.

Damien Charlotin's hallucination database catalogues 1,353+ court decisions worldwide that have called out AI-generated fabrications in legal filings, with the pace accelerating sharply in 2026. ABA Model Rule 1.1 makes the attorney — not the model — responsible. A federal judge in Oregon sanctioned two lawyers $110,000 in 2026 over 23 fabricated citations and 8 invented quotations: the largest AI-hallucination sanction in US legal history. Q1 2026 alone saw US courts impose over $145,000in AI-hallucination sanctions across multiple cases. VeriSwarm produces the audit evidence that proves a legal AI agent's output was grounded, reviewed, and approved — at the point of generation, not after a Rule 11 motion. Works across LangChain, CrewAI, AutoGen, your firm's in-house drafting stack, or any other framework you use.

Start Free — log your first AI-assisted draft to VaultHow we differ from bundled incumbents
1,353+
Court decisions worldwide citing AI hallucinations
$110K
Largest single US sanction (Oregon, 2026)
17
US decisions flagging hallucinations in one day (Mar 31, 2026)
Rule 1.1
ABA competence rule — covers AI use

ABA Model Rules + Rule 11, mapped to capability

Five ethics duties intersect with every AI-assisted filing. We mapped each one to the VeriSwarm capability that produces the evidence the court asks for — and the API endpoint that emits it.

PRIORITY 01 · ABA / FRCP

Technological Competence (Model Rule 1.1)

“Lawyers must understand the benefits and risks of relevant technology. The attorney — not the model — is responsible for what is signed and filed.”

VERISWARM CAPABILITY

Cortex Workflows + Vault provenance

Every AI-assisted draft step recorded with prompt, model, output, and reviewer action in an immutable chain. The attorney's review is itself a Vault event with timestamp and approver identity.

Audit evidence: Per-draft provenance record showing every AI exchange and human review step. The lawyer's competence with the technology is documented, not asserted.

POST /v1/workflows/execute
PRIORITY 02 · ABA / FRCP

Candor Toward the Tribunal (Model Rule 3.3)

“Lawyers shall not knowingly make false statements of fact or law to a tribunal. Citation verification is a duty, not an option.”

VERISWARM CAPABILITY

Guard cross-model verification + grounding checks

Citations routed through multiple LLMs with majority-vote consensus on existence and accuracy. Grounding source-attribution recorded for every quoted passage. Hallucinated citations fail the verification gate before the draft is touchable.

Audit evidence: Per-citation verification record with which model said what and the corresponding authority. Rule 11 motion gets answered with a JSON export.

POST /v1/suite/guard/scan
PRIORITY 03 · ABA / FRCP

Confidentiality (Model Rule 1.6) + Attorney-Client Privilege

“Privileged content must not leak through AI tools. Client names, matter numbers, and confidential facts cannot become training data or model logs.”

VERISWARM CAPABILITY

Guard PII tokenization + Guard Proxy

Recursive token replacement for client names, matter numbers, and privileged identifiers before the LLM call. Guard Proxy transparently intercepts MCP tool traffic for in-flight enforcement.

Audit evidence: Per-session record showing what was tokenized, what reached the model, and what was rehydrated for the lawyer. Privilege is preserved cryptographically.

POST /v1/suite/guard/pii/tokenize
PRIORITY 04 · ABA / FRCP

Supervision (Model Rules 5.1, 5.3)

“Lawyers responsible for the conduct of non-lawyer assistants — including their AI tools.”

VERISWARM CAPABILITY

Gate + Passport — trust scoring + portable credentials

Per-agent trust score across identity, risk, reliability, autonomy. Signed credentials with audience binding and 1-hour TTL. Supervising attorney can pause, gate, or revoke an agent's authority at any time.

Audit evidence: Per-agent trust score timeline, supervisor approval records, kill-switch events. Supervisory record meets Rule 5.3 documentation expectations.

POST /v1/decisions/check
PRIORITY 05 · ABA / FRCP

Rule 11 Pre-Filing Verification

“Federal Rules of Civil Procedure Rule 11 — every filing must be certified as non-frivolous, grounded in fact, and warranted by existing law or non-frivolous argument for extension.”

VERISWARM CAPABILITY

Vault chain + human_review workflow gate

Mandatory human-review gate in the drafting workflow. Approver identity, timestamp, and the diff approved all written as Vault events. Chain verification proves the review actually happened.

Audit evidence: Per-filing Vault chain export — every AI input, every citation check, every reviewer approval. The sanctions motion arrives; the chain is the response.

GET /v1/suite/vault/verify

The sanctions surface, by the numbers

The base rate of detection is now daily; the sanctions are getting larger.

Court decisions citing AI hallucinations (worldwide, Charlotin DB)
1,353
Per-draft Vault chain
Largest single US AI-hallucination sanction (Oregon, 2026)
$110K
Cross-model citation verification
Q1 2026 cumulative US AI-hallucination sanctions
$145K
Rule 11 evidence pack
US decisions flagging hallucinations on Mar 31, 2026 alone
17
Pre-filing human_review gate

Source: Damien Charlotin AI Hallucination Cases Database; Sterne Kessler 2025 review; Reason / Volokh Conspiracy 2026-04-06; Fortune 2026-05-16.

The cases setting the precedent

The detection apparatus is now permanent. The question is what evidence you have when it finds you.

US DISTRICT COURT OF OREGON

$110,000. Largest US AI-hallucination sanction to date.

A federal judge in Oregon sanctioned two lawyers $110,000 in 2026 after they submitted a brief containing 23 fabricated citations and 8 invented quotations. Q1 2026 alone saw US courts impose over $145,000 in sanctions for AI hallucinations in legal filings.

Fortune, 2026-05-16; Sterne Kessler 2025 review of sanctions

DAMIEN CHARLOTIN HALLUCINATION DATABASE

1,353+ court decisions worldwide. Daily updates.

The most comprehensive public tracker of AI hallucination cases in law. Searchable by country, party, AI tool, and outcome. The database has been cited in several court decisions itself, and its companion PelAIkan automated reference checker now operates against new filings.

damiencharlotin.com/hallucinations, accessed 2026-05-19

MARCH 31, 2026

17 US court decisions flagged AI hallucinations in one day.

Per Reason / Volokh Conspiracy tracking, 17 separate US court decisions noted suspected AI hallucinations in legal filings on a single day. Daily detection volume is now routine. The question is no longer "if your tool will hallucinate" — it's "what evidence will you produce when the Rule 11 motion lands."

Reason.com / Volokh Conspiracy, 2026-04-06

Legal-tech compliance attestations

Two attestations behind every AI-assisted filing: professional-responsibility ethics (ABA Model Rules + state-bar opinions) and pre-filing sanction defense (FRCP Rule 11 + Oregon $110K precedent).

ABA Model Rules of Professional Conduct

Rules 1.1 / 1.6 / 3.3 / 5.1-5.3 mapped to Cortex docs, Guard PII tokenization, hallucination guardrails, and per-state Cedar policy variants.

See attestation map →

FRCP Rule 11 — AI filing sanctions

Citation-check workflow, grounding evidence, pre-filing human_review — mapped to the Oregon $110K (2026) precedent's sanctions standard.

See attestation map →

A 30-minute walkthrough beats a five-page brief

Pick the ethics duty you've been asked about most recently. We'll show you the audit-evidence artifact for that duty, generated against live agent traffic in 30 minutes. No demo data — you bring the question.

Start Free AccountSee all compliance frameworks

Sources: Damien Charlotin AI Hallucination Cases Database (accessed 2026-05-19); ABA litigation news (2025); Reason/Volokh Conspiracy (2026-04-06); Fortune (2026-05-16); Sterne Kessler 2025 review of sanctions.